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Paul D. Allison
University of Pennsylvania
115Publications
46H-index
21.4kCitations
Publications 115
Newest
Published on May 24, 2019in Organizational Research Methods 4.92
Michael J. Zyphur23
Estimated H-index: 23
(University of Melbourne),
Manuel C. Voelkle12
Estimated H-index: 12
(Humboldt University of Berlin)
+ 8 AuthorsPeter Koval18
Estimated H-index: 18
(University of Melbourne)
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Published on May 21, 2019in Organizational Research Methods 4.92
Michael J. Zyphur23
Estimated H-index: 23
(University of Melbourne),
Paul D. Allison46
Estimated H-index: 46
(University of Pennsylvania)
+ 8 AuthorsPeter Koval18
Estimated H-index: 18
(University of Melbourne)
Source Cite
Published on Apr 27, 2019in Applied Economics 0.75
Enrique Moral-Benito17
Estimated H-index: 17
(Bank of Spain),
Paul D. Allison46
Estimated H-index: 46
(University of Pennsylvania),
Richard Williams17
Estimated H-index: 17
(University of Notre Dame)
The Arellano and Bond (1991) estimator is widely-used among applied researchers when estimating dynamic panels with fixed effects and predetermined regressors. This estimator might behave poorly in finite samples when the cross-section dimension of the data is small (i.e. small N), especially if the variables under analysis are persistent over time. This paper discusses a maximum likelihood estimator that is asymptotically equivalent to Arellano and Bond (1991) but presents better finite sample ...
6 Citations Source Cite
Published on Jun 1, 2018in Stata Journal 2.16
Richard Williams17
Estimated H-index: 17
(University of Notre Dame),
Paul D. Allison46
Estimated H-index: 46
(University of Pennsylvania),
Enrique Moral-Benito17
Estimated H-index: 17
(Bank of Spain)
Panel data make it possible both to control for unobserved confounders and to include lagged, endogenous regressors. Trying to do both at the same time, however, leads to serious estimation difficulties. In the econometric literature, these problems have been solved by using lagged instrumental variables together with the generalized method of moments (GMM). In Stata, commands such as xtabond and xtdpdsys have been used for these models. Here we show that the same problems can be addressed via m...
2 Citations Source Cite
Jordan Beardslee2
Estimated H-index: 2
(Arizona State University),
Edward P. Mulvey45
Estimated H-index: 45
(University of Pittsburgh)
+ 3 AuthorsDustin A. Pardini45
Estimated H-index: 45
(Arizona State University)
Objective Although studies have found that youth exposed to violence are more likely to carry guns than non-exposed youth, this association could be due to common causal factors or other pre-existing differences between individuals. In this study, within-individual change models were used to determine whether juvenile offenders exhibit an increased propensity to carry a firearm after being exposed to gun violence and/or non-gun violence. The advantage of this approach is all time-invariant facto...
1 Citations Source Cite
Published on Dec 1, 2017
Paul D. Allison46
Estimated H-index: 46
,
Richard Williams17
Estimated H-index: 17
,
Enrique Moral-Benito17
Estimated H-index: 17
Panel data make it possible both to control for unobserved confounders and allow for lagged, reciprocal causation. Trying to do both at the same time, however, leads to serious estimation difficulties. In the econometric literature, these problems have been solved by using lagged instrumental variables together with the generalized method of moments (GMM). Here we show that the same problems can be solved by maximum likelihood (ML) estimation implemented with standard software packages for struc...
9 Citations Source Cite
Published on Nov 17, 2016in Statistical Software Components
Richard Williams17
Estimated H-index: 17
,
Paul D. Allison46
Estimated H-index: 46
,
Enrique Moral-Benito17
Estimated H-index: 17
Panel data make it possible both to control for unobserved confounders and to include lagged, endogenous regressors. Trying to do both at the same time, however, leads to serious estimation difficulties. In the econometric literature, these problems have been solved by using lagged instrumental variables together with the generalized method of moments (GMM). In Stata, commands such as xtabond and xtdpdsys have been used for these models. xtdpdml addresses the same problems via maximum likelihood...
Published on Oct 1, 2016in Journal of Marriage and Family 2.80
Paula England45
Estimated H-index: 45
(New York University),
Paul D. Allison46
Estimated H-index: 46
(University of Pennsylvania),
Liana C. Sayer17
Estimated H-index: 17
(University of Maryland, College Park)
The authors assessed how the relative age of spouses affects whether men or women initiate a divorce, using data from the National Survey of Families and Households. Ex-spouses' reports of who left generally agreed, but not always, so the analysis used a latent class model embedded in an event-history model with competing risks that the woman leaves the man or the man leaves the woman. Support was not found for the hypothesis that age heterogamy itself increases the odds of divorce: Even large a...
1 Citations Source Cite
Published on Mar 1, 2016in Arthritis Care and Research 4.15
E. Alemao6
Estimated H-index: 6
(Bristol-Myers Squibb),
S. Joo2
Estimated H-index: 2
(Bristol-Myers Squibb)
+ 7 AuthorsMichael E. Weinblatt77
Estimated H-index: 77
(Brigham and Women's Hospital)
Objective To evaluate associations between achieving guideline-recommended targets of disease activity, defined by the Disease Activity Score in 28 joints using C-reactive protein level (DAS28-CRP) <2.6, the Simplified Disease Activity Index (SDAI) ≤3.3, or the Clinical Disease Activity Index (CDAI) ≤2.8, and other health outcomes in a longitudinal observational study. Methods Other defined thresholds included low disease activity (LDA), moderate (MDA), or severe disease activity (SDA). To contr...
12 Citations Source Cite
Published on Jan 1, 2016in Epidemiology 4.99
Douglas J. Wiebe29
Estimated H-index: 29
,
Therese S. Richmond23
Estimated H-index: 23
+ 4 AuthorsCharles C. Branas31
Estimated H-index: 31
BACKGROUND: We collected detailed activity paths of urban youth to investigate the dynamic interplay between their lived experiences,time spent in different environments,and risk of violent assault. METHODS: We mapped activity pathsof10-24 year-olds, including 143 assault patients shot with a firearm, 206 assault patients injured with other types of weapons, and 283 community controls, creating a step-by-step mapped record of how, when, where, and with whom they spent time over a full day from w...
20 Citations Source Cite
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